Prediction of fatigue–crack growth with neural network-based increment learning scheme
Xinran Ma, Xiaofan He, Z. C. Tu
Topics & Concepts
Artificial neural networkParis' lawEconomic shortageStructural engineeringTitanium alloyBackpropagationComputer scienceWork (physics)Materials scienceArtificial intelligenceAlloyCrack closureFracture mechanicsEngineeringMechanical engineeringComposite materialGovernment (linguistics)PhilosophyLinguisticsNon-Destructive Testing TechniquesFatigue and fracture mechanicsHydrogen embrittlement and corrosion behaviors in metals